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ISSN: 2155-9600
Journal of Nutrition & Food Sciences
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Etiology of Preterm Birth in Relizane Region (West of Algeria)

Demmouche A1*, Mai AH1, Kaddouri MS1, Ghani A1, Rahmani S1, Beddek F2 and Benali AI1

1Department of Biology, Faculty of Natural Sciences and life, Djillali University, Sidi Bel Abbes, Liabes, Algeria

2Central Laboratory of Biology, Hospital Establishment specializing in Obstetrics and Gynaecology, Sidi Bel Abbes, Algeria

*Corresponding Author:
Dr Demmouche Abbassia
PhD in Biology at the University Djillali Liabes, Algeria
Tel: (213) 7 73 62 06 37
E-mail: [email protected]

Received date: May 27, 2014; Accepted date: July 22, 2014; Published date: July 24, 2014

Citation: Demmouche A, Mai AH, Kaddouri MS, Ghani A, Rahmani S, et al. (2014) Etiology of Preterm Birth in Relizane Region (West of Algeria). J Nutr Food Sci 4:292. doi: 10.4172/2155-9600.1000292

Copyright: © 2014 Demmouche A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Abstract

Introduction: Preterm deliveries are those that occur at less than 37 weeks gestational age. Preterm birth is a major determinant of neonatal mortality and morbidity and has long-term adverse consequences for health. This study was done to estimate the incidence of preterm labor and to investigate it causes in a university hospital center of Relizane (west ALGERIA). Methods: A cross sectional study was conducted in rural area Oued rhioue (Relizane, west Algeria) among all patients who delivered during study period. Data was collected by interview technique and analyzed by appropriate statistical methods. Results: A total of 3000 deliveries occurred during study period from which 278 were premature birth; the incidence of preterm delivery in the study was (9.26%). Considering the total series, the risk of preterm birth was above unity in hypertensive women (33%), (44%) women had preterm premature rupture of the fetal membranes. Parity, gestity and gestational age were associated with preterm delivery. The relationship was statistically significant (P<0.005). However maternal age and pregnancy interval were not associated with preterm delivery. Conclusion: In our study we found that 9.26% of births were preterm. This number is higher compare to developed countries, especially in Algeria; incur the highest burden in terms of absolute numbers. This is why we need a better understanding of the different causes of preterm birth, and better evaluation of it incidence to be able to improve the obstetric and neonatal care and thus reduce the percentage of preterm birth

Keywords

Incidence of preterm birth; Determinants of preterm birth; West Algeria

Introduction

Preterm birth is childbirth that occurs at less than 37 weeks, or if counted in days, less than 259 gestational days, and preterm birth is one of the causes of neonatal mortality and morbidity, it also has some long-term effect on health [1,2], it is estimated that 28% of neonatal deaths are related to preterm birth [3]. Although most preterm babies survive, they are at increased risk of neurodevelopment impairments and respiratory and gastrointestinal complications [4].

Some of the health problem that preterm babies can suffer from varies from learning disabilities to cerebral palsy or even some respiratory illnesses, and some of the health’s problems related to preterm birth go even beyond the period of childhood and affect the person in his adult life [5,6].

The rate of preterm birth is not only rising in developing countries, but also in industrialized countries, and that in spite of the fact that we now have more knowledge about it’s the risk factors and some of the different way to reduce it [7]. Some of the factors that we already know are linked to preterm labor are the use of infertility treatments, some environmental exposure, the behavioral choice of mother or her socioeconomic levels [8].

A better understanding of the risk factors associated with preterm deliveries is important for effective prevention. Therefore this study was conducted to estimate the incidence of preterm deliveries and to identify the factors associated with it.

Methods

We did a retrospective study using the archived records of 3000 deliveries that occurred in the maternity of Oued rhioue (Relizane, west Algeria), for a period of 24 months from 1 January 2011 to 31 December 2012.

To perform the study, we used a questionnaire and we collected the following data: The characteristics of mothers: (maternal age, gestational age, Gravidity, parity, birth interval, abortions). The obstetric medical factors: (pathology observed during pregnancy). The characteristics of newborns: (weight, sex, Apgar score, prematurity).

Statistical data analysis was performed using the software (Statview 1997). The value of p<0.05 was considered significant. Measuring the association between prematurity and risk factors is performed according to a logistic regression model. The statistical methods used are the ANOVA test, the coefficients of correlation (correlation matrix). Means were compared using Student’s t test. The results are given in the form of tables and histograms.

Results

In the study period there were 3000 birth including 278 preterm deliveries representing a prevalence of 9.26% (Figure 1).

nutrition-food-sciences-incidence-preterm

Figure 1: incidence of preterm delivery in the study.

Data analysis showed a slight male predominance with 1537 preterm boys (51.19%) versus 1465 preterm girl (48.80%).

Concerning the relationship between prematurity and maternal factors, our study shows that maternal age did not influence preterm deliveries. There were no established statistically significant relationship between the different age groups and prematurity (Table 1).

In our study, Premature rupture of membranes (PROM) affected a large percentage 42.72% in our sample, 33.33% of women had hypertension during pregnancy, while few women had a dystocia 9.39%, 7.51% had anemia and diabetes were found in 7.04% of women (Figure 2).

nutrition-food-sciences-Risk-factors

Figure 2: Risk factors for preterm births (medical risk).

Our result show that preterm deliveries increases gradually as parity increases. We found that there is a significant difference between the two groups (term and preterm) depending on the parity (P=0.0028) (Table 1).

Maternal and birth factors   P
Means %  
Maternal Age (years) <20years 37,929 ± 3,092 1,86 0,1503
20-34years 38,346 ± 1,931 73,61 0,2633
≥ 35years 38,261 ± 2,610 24,51 0,3523
Gestational Age  (Week) Preterm birth 32,615 ± 3,423 9,26 <0.0001
Term  deliveries 38,899 ± 0,459 90,74
Interpregnancy interval (years) Preterm birth 1,683 ± 1,854 9,26 0.0593
Term  deliveries 1,898 ± 1,804 90,74
Gestity Preterm birth 2,317 ± 1,674 9,26 0,0044
Term  deliveries 2,609 ± 1.627 90,74
Parity Preterm birth 1,176 ± 0,90 9,26 0.0028
Term  deliveries 1,459 ± 0,29 90,74
Etiology of preterm Anemia 36,750 ± 3,110 41.18 0.3978
Hypertension 37,986 ± 2,945 29.41 0.3034
Diabetes 38,400 ± 2,683 27.94 0.6725
PROM 37,374 ± 2,775 1.47 0.8589

Table 1: Maternal anthropometric and obstetric factors.

There was no relationship between preterm deliveries and the interval between births, as well as statistical tests do not show a statistically significant difference, (P=0.0593).

A clear correlation was noted between the weight of the newborn and (parity, gravidity, birth interval), respectively (R=0.201, R=0.292, R=0.191, R=0.135). Also a strong correlation was noted between weight and gestational age (R=0.450), (Figure 3).

nutrition-food-sciences-gestational-age

Figure 3: Correlation between gestational age and birth weight.

Discussion

In our study the rate of preterm birth was 9.26%, this number is close to the incidence of preterm labor reported in developing countries 9-16% [9], it is still higher to that found in Europe and other developed countries, where reported rates are generally 5–9% [10,11]. However it’s lower to those found in India 15% and Nigeria 12% [12,13].

Our results note that maternal age did not affect prematurity, however some studies have shown an excess risk of preterm birth among older women [14,15]. In historical cohort study were all birth in Quebec and Denmark were analyzed from 1981 to 2008, over the entire study period women aged 40 years or older in both Denmark and Quebec had the highest risk of Preterm deliveries relative to women aged 25 to 29 years [16]. What is consistent across the different studies is that older maternal age is associated with an increased prevalence of preexisting chronic diseases, medical problems during pregnancy, as well as antepartum and labor complications [17].

In our study, we found that there is a relationship between prematurity and parity which is consistent with some studies [18-20] that described an excess risk of preterm birth among primiparous women. In contrast, Astolfi et al found no differential effect of parity on the risk of preterm birth among older mothers in Italy [21].

Regarding the birth interval, the statistical tests show that there is no relationship between prematurity and the Interpregnancy interval, but several studies have shown that women with a very short interval between pregnancies are at increased risk of complications such as preterm birth [22-24].

In our study 42.72% of preterm labor were caused by preterm premature rupture of the membranes (PPROM) this results is consistent to some the general result where About 30–35% of preterm births are indicated, 40–45% follow spontaneous preterm labor, and 25-30% follow PPROM [8,25].

Conclusion

In our study period we recorded 3000 deliveries from which 278 were preterm (9.26%), this number is the average reported in developing countries (9-16%). Preterm birth is an important prenatal health problem across the globe especially in developing countries like Algeria. This is why we need a better understanding of the different causes of preterm birth, and better evaluation of it incidence to be able to improve the obstetric and neonatal care, and thus reduce the percentage of preterm birth.

References

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